Device and method for training a normalizing flow
US11961275B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 16, 2021 |
| Grant date | Apr 16, 2024 |
| Priority date | — |
| Expiry date | Nov 3, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/473
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method for training a normalizing flow. The normalizing flow predicts a first density value based on a first input image. The first density value characterizes a likelihood of the first input image to occur. The first density value is predicted based on an intermediate output of a first convolutional layer of the normalizing flow. The intermediate output is determined based on a plurality of weights of the first convolutional layer. The method for training includes: determining a second input image; determining an output, wherein the output is determined by providing the second input image to the normalizing flow and providing an output of the normalizing flow as output; determining a second density value based on the output tensor and on the plurality of weights; determining a natural gradient of the plurality of weights with respect to the second density value; adapting the weights according to the natural gradient.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.